Abstract
We study the spelling suggestion problem for keyword search on XML documents. To address the problems in existing work, we propose a distance-based approach to suggesting meaningful query candidates for an issued query. Our approach uses distance to measure the relationship between keyword matching nodes, and ranks a candidate higher if there are closely-related nodes in the database that match the candidate. We design an efficient algorithm to generate top-k query candidates. Experiments with real datasets verified the effectiveness and efficiency of our approach.
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References
Bao, Z., Ling, T.W., Chen, B., Lu, J.: Effective XML keyword search with relevance oriented ranking. In: ICDE, pp. 517–528 (2009)
Bocek, T., Hunt, E., Stiller, B.: Fast Similarity Search in Large Dictionaries. Technical Report ifi-2007.02, Department of Informatics. University of Zurich (April 2007)
Cucerzan, S., Brill, E.: Spelling correction as an iterative process that exploits the collective knowledge of web users. In: EMNLP, pp. 293–300 (2004)
Guo, L., Shao, F., Botev, C., Shanmugasundaram, J.: XRANK: Ranked keyword search over XML documents. In: SIGMOD Conference, pp. 16–27 (2003)
Liu, Z., Walker, J., Chen, Y.: A semantic XML search engine using keywords. In: VLDB, pp. 1330–1333 (2007)
Lu, Y., Wang, W., Li, J., Liu, C.: XClean: Providing valid spelling suggestions for XML keyword queries. In: ICDE, pp. 661–672 (2011)
Pu, K.Q., Yu, X.: Keyword query cleaning. PVLDB 1(1), 909–920 (2008)
Tao, Y., Papadopoulos, S., Sheng, C., Stefanidis, K.: Nearest keyword search in XML documents. In: SIGMOD Conference, pp. 589–600 (2011)
Termehchy, A., Winslett, M.: Using structural information in XML keyword search effectively. ACM Trans. Database Syst. 36(1), 4 (2011)
Xu, Y., Papakonstantinou, Y.: Efficient keyword search for smallest LCAs in XML databases. In: SIGMOD Conference, pp. 537–538 (2005)
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Li, S., Wang, J., Wang, K., Li, J. (2012). A Distance-Based Spelling Suggestion Method for XML Keyword Search. In: Atzeni, P., Cheung, D., Ram, S. (eds) Conceptual Modeling. ER 2012. Lecture Notes in Computer Science, vol 7532. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34002-4_14
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DOI: https://doi.org/10.1007/978-3-642-34002-4_14
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